Deuterium Isotopomers As a Tool in Environmental Research

Total Page:16

File Type:pdf, Size:1020Kb

Deuterium Isotopomers As a Tool in Environmental Research UMEÅ UNIVERSITY MEDICAL DISSERTATION New Series No. 1070 ISSN: 0346-6612 ISBN: 91-7264-218-1 Edited by the Dean of the Faculty of Medicine Deuterium isotopomers as a tool in environmental research by Tatiana Betson Department of Medical Biochemistry and Biophysics, Umeå University Umeå 2006 Department of Medical Biochemistry and Biophysics Umeå University SE-901 87 Umeå, Sweden Copyright © 2006 Tatiana Betson ISSN 0346-6612 New Series No. 1070 ISBN 91-7264-218-1 Printed in Sweden by Print and Media Umeå University, Umeå À ma famille passée, présente et future Table of contents Abbreviations 6 Abstract 7 Publication list 8 Introduction 9 Stable isotopes 11 General considerations 11 Definitions 12 Mechanisms of isotope fractionation 13 1) Physical fractionations 13 2) Chemical fractionations 14 Isotopomers 16 Measurements of isotope and isotopomer abundance 17 1) IRMS 17 3) FTIR 19 2) NMR 19 Climate change 23 Open questions 23 Tree rings as a proxy for climate (dendroclimatology) 24 1) Physical characteristics of tree rings 25 2) Chemical characteristics of tree rings 26 Persistent organic pollutants in the environment 29 Definition 29 Identification of their origin and fate 29 Results and conclusions 31 Paper I 31 Paper II 31 Paper III 32 Paper IV 33 Unpublished results related to Paper IV 33 General conclusion 35 Acknowledgements 36 References 38 5 Abbreviations D (or 2H) Deuterium p,p’-DDT p,p’-dichlorodiphenyltrichloroethane o.p’-DDD o.p’-dichlorodiphenyldichloroethane DID Deuterium Isotopomer Distribution FID Free Induction Decay FTIR Fourier Transform Infra Red spectroscopy 1H Protium (or proton) IRMS Isotope Ratio Mass Spectrometry KIE Kinetic Isotope Effect NMR Nuclear Magnetic Resonance spectroscopy PHC Polyhalogenated Compounds POP Persistent Organic Pollutants TMS Tetramethylsilane VPDB Vienna PeeDee Belemnite VSMOW Vienna Standard Mean Ocean Water 6 Abstract Deuterium isotopomers as a tool in environmental research This thesis describes the development and the use of quantitative deuterium Nuclear Magnetic Resonance spectroscopy (NMR) as a tool in two areas of environmental research: the study of long term climate-plant interactions and the source tracking of persistent organic pollutants. Long-term interactions between plants and climate will influence climate change during this century and beyond, but cannot be studied in manipulative experiments. We propose that long tree-ring series can serve as records for tracking such interactions during past centuries. The abundance of the stable hydrogen isotope deuterium (D) is influenced by physical and biochemical isotope fractionations. Because the overlapping effects of these fractionations are not understood, studies of the D abundance of tree rings led to conflicting results. We hypothesized that both types of fractionations can be separated if the D abundance of individual C-H groups of metabolites can be measured, that is if individual D isotopomers are quantified. The first paper describes a technique for quantification of D isotopomers in tree-ring cellulose by NMR. The technique showed that the D isotopomers distribution (DID) was non-random. Therefore, the abundance of each isotopomer potentially contains individual information which suggests an explanation for the conflicting results obtained by measuring the overall D abundance (δD). In the second paper, this technique was used to study hydrogen isotope exchange during cellulose synthesis in tree rings. This revealed that some C-H positions exchange strongly with xylem water, while others do not. This means that the exchanging C-H positions should acquire the D abundance of source water, which is determined by physical fractionations, while non-exchanging C-H positions of tree- ring cellulose should retain biochemical fractionations from the leaf level. Therefore, the abundance of the corresponding D isotopomers should contain information about climate and physiology. When analysing tree-ring series, the DIDs should reflect information about temperature, transpiration and regulation of photosynthesis. In the third paper, we showed that CO2 concentration during photosynthesis determines a specific abundance ratio of D isotopomers. This dependence was found in metabolites of annual plants, and in tree-ring cellulose. This result shows that D isotopomers of tree-ring series may be used to detect long-term CO2 fertilisation effects. This information is essential to forecast adaptations of plants to increasing CO2 concentrations on time scales of centuries. In the fourth paper, the source of persistent organic pollutants in the environment was tracked using DID measurements. The δD values of two compounds of related structures were not enough to show indisputably that they did not originate from the same source. However, the DIDs of the common part between the two compounds proved that they did not originate from the same source. These results underline the superior discriminatory power of DIDs, compared to δD measurements. The versatility of DID measurements makes them a precious tool in addressing questions that cannot be answered by δD measurements. Key words: Deuterium, NMR, isotopomers, CO2 response, climate reconstruction, persistent pollutants, stable isotopes. 7 Publication List This thesis is based on the following publications, which will be referred to in the text by their roman numerals: I - Quantification of deuterium isotopomers in tree-ring cellulose Tatiana R. Betson, Angela Augusti and Jürgen Schleucher, Analytical Chemistry, 2006, in press. II - Hydrogen exchange during cellulose synthesis distinguishes climatic and biochemical isotope fractionations in tree ring, Angela Augusti, Tatiana R. Betson and Jürgen Schleucher, New Phytologist, 2006, vol 172, issue 3, p 490-499. III – Deuterium Isotopomers record a CO2 response of plants in leaves and tree-rings Angela Augusti, Tatiana R. Betson and Jürgen Schleucher, Manuscript. IV - Baseline isotopic data of polyhalogenated compounds Walter Vetter, Wolfgang Armbruster, Tatiana R. Betson, Jürgen Schleucher, Thomas Kapp and Katja Lehnert, Analytica Chimica Acta, 2006, vol 577, issue 2, p 250-256. The papers have been reprinted with the kind permission of ACS publications (paper I), Blackwell Publishing (paper II), Elsevier (paper IV) © 2006 8 Introduction Most chemical elements of biochemical interest such as hydrogen, carbon, nitrogen and oxygen are composed of different stable isotopes. The abundances of the heavy stable isotopes (2H, also known as Deuterium (D), 13C, 15N, 17O and 18O) are much smaller compared to the light stable isotopes (1H, 12C, 14N and 16O) and are modified by physical and biochemical processes. One common use of heavy stable isotopes is to label compounds in a harmless way. This provides a non-invasive tool in medicine to diagnose metabolic disorders (Goetze et al., 2005) and to detect potential disease (Levine et al., 2004) and in medical studies to better understand human metabolism (Jin et al., 2004; Ribeiro et al., 2005). Stable isotopes are also widely used to track biogeochemical fluxes through the carbon and nitrogen cycles (Hobbie et al., 2002; Nasholm et al., 1998). In chemistry and biochemistry, labelling is also used in NMR structure determination (Wider & Wuthrich, 1999), to study reaction mechanisms (Ankianiec et al., 1994; Barta et al., 1994; Cook & Cleland, 1981) and to determine kinetic isotope effects (Cleland, 1980). Because their natural abundances are modified by physical and chemical fractionations, stable isotopes are also a precious tool at natural abundance. They are used to study enzyme mechanisms (Cleland, 2003), metabolic fluxes (Smith & Ziegler, 1990; Zhang et al., 1995; Zhang et al., 1994) and to determine kinetic isotope effects (Singleton & Thomas, 1995; Lee et al., 2004). In biogeosciences, stable isotopes at natural abundance are used to integrate biogeochemical fluxes from local to global scale. Prominent examples are the study of the carbon and nitrogen cycles within ecosystems (Ekblad & Hogberg, 2001; Hogberg, 1997) and quantification of sources and sinks of the greenhouse gases CO2, N2O and CH4 (Francey et al., 1995; Dore et al., 1998; Lowe et al., 1994; Quay et al., 1999). They are also an invaluable tool to reconstruct past climate from archives such as ice cores and tree rings (Petit et al., 1999; 9 Jouzel et al., 2006; Buhay & Edwards, 1995; Masson-Delmotte et al., 2005). Most of the measurements of stable isotope abundance are made using isotope ratio mass spectrometry (IRMS). This technique measures the ratio of heavy to light isotope of whole molecules. However, it has been shown for all heavy isotopes that their abundance in non-equivalent intramolecular positions is variable (Martin & Martin, 1981; Schmidt, 2003; Robins et al., 2003). Because a molecule carrying a heavy isotope in a particular position is called an isotopomer, this variation can be described by isotopomer distributions. These distributions contain information about the origin of compounds (Zhang et al., 2002). Isotopomer distributions have only been measured by IRMS in a few cases. To measure isotopomer distributions, nuclear magnetic resonance (NMR) is probably the most effective tool. Isotopomer analysis by NMR is used in food authentication (Martin et al., 1988; Remaud et al., 1997), biomechanisms (Zhang et al., 1995) and kinetic isotope effects studies (Lee et al., 2004). But isotopomer measurements are still uncommon compared to measurements of isotope ratios. However, limitations of isotope ratio measurements
Recommended publications
  • 4 Nuclear Magnetic Resonance
    Chapter 4, page 1 4 Nuclear Magnetic Resonance Pieter Zeeman observed in 1896 the splitting of optical spectral lines in the field of an electromagnet. Since then, the splitting of energy levels proportional to an external magnetic field has been called the "Zeeman effect". The "Zeeman resonance effect" causes magnetic resonances which are classified under radio frequency spectroscopy (rf spectroscopy). In these resonances, the transitions between two branches of a single energy level split in an external magnetic field are measured in the megahertz and gigahertz range. In 1944, Jevgeni Konstantinovitch Savoiski discovered electron paramagnetic resonance. Shortly thereafter in 1945, nuclear magnetic resonance was demonstrated almost simultaneously in Boston by Edward Mills Purcell and in Stanford by Felix Bloch. Nuclear magnetic resonance was sometimes called nuclear induction or paramagnetic nuclear resonance. It is generally abbreviated to NMR. So as not to scare prospective patients in medicine, reference to the "nuclear" character of NMR is dropped and the magnetic resonance based imaging systems (scanner) found in hospitals are simply referred to as "magnetic resonance imaging" (MRI). 4.1 The Nuclear Resonance Effect Many atomic nuclei have spin, characterized by the nuclear spin quantum number I. The absolute value of the spin angular momentum is L =+h II(1). (4.01) The component in the direction of an applied field is Lz = Iz h ≡ m h. (4.02) The external field is usually defined along the z-direction. The magnetic quantum number is symbolized by Iz or m and can have 2I +1 values: Iz ≡ m = −I, −I+1, ..., I−1, I.
    [Show full text]
  • Effect of Electronegative Elements on the NMR Chemical Shift in Some Simple R-X Organic Compounds
    IOSR Journal of Applied Physics (IOSR-JAP) e-ISSN: 2278-4861.Volume 6, Issue 4 Ver. III (Jul-Aug. 2014), PP 45-56 www.iosrjournals.org Effect of electronegative elements on the NMR chemical shift in some simple R-X organic compounds Muhammad A. AL-Jalali1, Yahia M. Mahzia2 1Physics Department, Faculty of Science, Taif University, Taif, AL-Haweiah, , P. O. Box 888, Zip code 21974, Kingdom of Saudi Arabia 2Physics Department, Faculty of Science, Damascus University, Damascus, Syrian Arab Republic. Abstract: Organic halides and other organic compounds that contain electronegative elements, have a strong chemical shift and a brilliant NMR spectrum will prevail. Relationship between 1H, 13C NMR chemical shift and Electronegativity in some simple R-X organic compounds (X=F, Cl, Br, I, O, H, ...R=CH3 or CH3-CH2-) give nonlinear equation, as well as a power series equation appears between nuclear magnetogyric ratio, magnetic shielding constant and chemical shift, which are not included in the theoretical expressions. More investigations required to remove the discrepancy between the theoretical and the experimental results. Keywords: Electronegativity, chemical shift, shielding constant, magnetogyric ratio. I. Introduction Nuclear magnetic resonance, or NMR is a physical phenomenon was observed in 1945[1,2], which occurs when the nuclei of certain atoms, firstly, subject to nuclear Zeeman effect[3,4,5]will Precession with the Larmor frequency [6, 7]. Secondly, exposed to an oscillating electromagnetic field (radio waves), then if the radio wave frequency exactly matches the precession frequency, the resonance phenomenon will happen and this is the so-called nuclear magnetic resonance. However, experimentally, it has been noticed [8, 9, 10] that a nucleus may have a different resonant frequency for a given applied magnetic field in different chemical compounds, this difference in resonant frequency is called the chemical shift or sometimes fine structure.
    [Show full text]
  • The Chemical Shift Chem 117 the Chemical Shift Key Questions (1) What Controls Proton Chemical Shifts? Eugene E
    E. Kwan Lecture 2: The Chemical Shift Chem 117 The Chemical Shift Key Questions (1) What controls proton chemical shifts? Eugene E. Kwan January 26, 2012. H H H H 0.86 ppm 5.28 2.88 Br Scope of Lecture 16.4 proton chemical problem shift trends diamagnetic vs. (2) What controls carbon chemical shifts? solving paramagnetic O O shielding O CH2 H C OH the chemical 3 H3C CH3 basic DEPT 49.2 49.2 40.5 69.2 and COSY shift H-bonding and solvent (3) What are COSY and DEPT? What useful information effects spin-orbit coupling, can they give about a structure? carbon chemical effect of unsaturation shift trends 123 Helpful References 10 0 1. Nuclear Magnetic Resonance Spectroscopy... Lambert, J.B.; 1 Mazzola, E.P. Prentice-Hall, 2004. (Chapter 3) 2 2. The ABCs of FT-NMR Roberts, J.D. University Science Books, 2000. (Chapter 10) 3 3. Spectrometric Identification of Organic Compounds (7th ed.) Silverstein, R.M.; Webster, F.X.; Kiemle, D.J. Wiley, 2005. (useful charts in the appendices of chapters 2-4) 10 4. Organic Structural Spectroscopy Lambert, J.B.; Shurvell, H.F.; Lightner, D.A.; Cooks, R.G. Prentice-Hall, 1998. I thank Professors William F. Reynolds (Toronto) and Gene Mazzola (Maryland/FDA) for providing some useful 5. Organic Structure Analysis Crews, P. Rodriguez, J.; Jaspars, material for this lecture. The section on chemical shifts M. Oxford University Press, 1998. is based on the discussion in Chapter 3 of reference 1. E. Kwan Lecture 2: The Chemical Shift Chem 117 Proton Chemical Shifts Clearly, the regions overlap: reference: Lambert and Mazzola, Chapter 3.
    [Show full text]
  • NMR Chemical Shifts of Common Laboratory Solvents As Trace Impurities
    7512 J. Org. Chem. 1997, 62, 7512-7515 NMR Chemical Shifts of Common Laboratory Solvents as Trace Impurities Hugo E. Gottlieb,* Vadim Kotlyar, and Abraham Nudelman* Department of Chemistry, Bar-Ilan University, Ramat-Gan 52900, Israel Received June 27, 1997 In the course of the routine use of NMR as an aid for organic chemistry, a day-to-day problem is the identifica- tion of signals deriving from common contaminants (water, solvents, stabilizers, oils) in less-than-analyti- cally-pure samples. This data may be available in the literature, but the time involved in searching for it may be considerable. Another issue is the concentration dependence of chemical shifts (especially 1H); results obtained two or three decades ago usually refer to much Figure 1. Chemical shift of HDO as a function of tempera- more concentrated samples, and run at lower magnetic ture. fields, than today’s practice. 1 13 We therefore decided to collect H and C chemical dependent (vide infra). Also, any potential hydrogen- shifts of what are, in our experience, the most popular bond acceptor will tend to shift the water signal down- “extra peaks” in a variety of commonly used NMR field; this is particularly true for nonpolar solvents. In solvents, in the hope that this will be of assistance to contrast, in e.g. DMSO the water is already strongly the practicing chemist. hydrogen-bonded to the solvent, and solutes have only a negligible effect on its chemical shift. This is also true Experimental Section for D2O; the chemical shift of the residual HDO is very NMR spectra were taken in a Bruker DPX-300 instrument temperature-dependent (vide infra) but, maybe counter- (300.1 and 75.5 MHz for 1H and 13C, respectively).
    [Show full text]
  • Article Is Available Online Is One of the Most Comprehensive Ways to Envision Such at Doi:10.5194/Bg-13-2257-2016-Supplement
    Biogeosciences, 13, 2257–2277, 2016 www.biogeosciences.net/13/2257/2016/ doi:10.5194/bg-13-2257-2016 © Author(s) 2016. CC Attribution 3.0 License. Molecular characterization of dissolved organic matter from subtropical wetlands: a comparative study through the analysis of optical properties, NMR and FTICR/MS Norbert Hertkorn1, Mourad Harir1, Kaelin M. Cawley2, Philippe Schmitt-Kopplin1, and Rudolf Jaffé2 1Helmholtz Zentrum München, German Research Center for Environmental Health, Research Unit Analytical Biogeochemistry (BGC), Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany 2Southeast Environmental Research Center, and Department of Chemistry and Biochemistry, Florida International University, 11200 SW 8th Street, Miami, FL 33199, USA Correspondence to: Rudolf Jaffé (jaffer@fiu.edu) Received: 23 July 2015 – Published in Biogeosciences Discuss.: 25 August 2015 Revised: 22 December 2015 – Accepted: 7 February 2016 – Published: 19 April 2016 Abstract. Wetlands provide quintessential ecosystem ser- relative disparity was largest between the Everglades long- vices such as maintenance of water quality, water supply and short-hydroperiod samples, whereas Pantanal and Oka- and biodiversity, among others; however, wetlands are also vango samples were more alike among themselves. Other- among the most threatened ecosystems worldwide. Natural wise, molecular divergence was most obvious in the case dissolved organic matter (DOM) is an abundant and criti- of unsaturated protons (δH > 5 ppm). 2-D NMR spectroscopy cal component in wetland biogeochemistry. This study de- for a particular sample revealed a large richness of aliphatic scribes the first detailed, comparative, molecular characteri- and unsaturated substructures, likely derived from microbial zation of DOM in subtropical, pulsed, wetlands, namely the sources such as periphyton in the Everglades.
    [Show full text]
  • Measuring T1 and T2 Relaxation Times
    Relaxation Measurements Two Relaxation Mechanisms 90° pulse T1: Spin‐lattice or longitudinal relaxation is the average lifetime of the nuclei in the higher spin state T2: Spin‐spin or transverse relaxation corresponds to a de‐coherence of the transverse nuclear spin magnetization Spin‐Lattice Relaxation Time or T1 • Any factor which slows molecular motion (e.g. increasing solution viscosity, aggregation, or rigidifying the molecule) shortens the spin‐lattice relaxation time • A short T1 favors sensitivity but too short can result in line broadening and degradation of resolution since T2 cannot be longer than T1 • 3 principal magnetic interactions that contribute to T1 relaxation of spin ½ nuclei: o Dipole‐dipole interaction ‐ the nucleus experiences a fluctuating field due to the motions of neighboring dipoles, unpaired electrons, or other nuclei o Chemical shift anisotropy ‐ chemical shielding of the nucleus is a function of molecular orientation with respect to B0 field direction o Spin rotation interaction –small magnetic fields are induced at the nucleus as a molecule reorients; this field fluctuates because the motions are not uniform but proceed by a series of small jumps • Small amounts of paramagnetic substances speed up relaxation • Inversion recovery experiment measures T1 T1 Measurement: Inversion Recovery Parameters to note & Optimize • To change the value of the delay, d7, a variable delay list must be created. • In the acquisition parameters a VDLIST can be generated which contains values that typically cover a time range which extends past vdlist the expected T1 value. 0.05 0.5 Iz = I0(1‐2exp(‐d7/T1) 1.0 1.5 ln(I0‐Iz) = ln(2I0)‐d7/T1 2 Tnull = T1*ln2 4 6 8 Spin‐Spin Relaxation Time or T2 • T1 = T2 when molecular tumbling is fast compared with the Larmor frequency; this is the condition for small molecules.
    [Show full text]
  • NMR Spectroscopy
    NMR spectroscopy • Not a single technique but a large set of related techniques • “simple” 1H-NMR • 13C NMR • 2D experiments 1 Nuclear Spin Angular momentum of spinning charge described by quantum spin number “I” Intrinsic magnitude of generated dipole = I = 0, 1/2, 1, 3/2… Spinning nucleus generates a magnetic dipole (µ) Criteria for spin: Atomic mass Atomic # I Example even even 0 12C, 16O, 34S odd odd or even half integer 1H (1/2); 13C (1/2); 15N (3/2) even odd integer 14N (1), 2H (1) Spin ½ nuclei in magnetic field (e.g. 1H and 13C) In the absence of a magnetic field, these spins have the same energy and are randomly aligned #orientations with respect to an applied B = 2I+1 B0 In an external magnetic field (B0) spin ½ can align with the magnetic field or against it (2)(1/2)+1 = 2 ΔE energy difference magnetogyric ratio hγB0 γB0 γ ΔE= ν= resonant frequency 2π 2π ν The difference in energy between the two spin states depends on B: ΔE increases with B β-spin hν ΔE depends on B, so the frequency of light needed to flip the nuclei will depend on Energy B α-spin applied magnetic field (B) 4 Common NMR active nuclei 2πµ γ = hI 7 -1 -1 Nucleus Natural Abundance γ (10 radT s ) 1H 99.9844 26 753 13C 1.108 6 728 19F 100 25 179 31P 100 10 840 1 13 νC = 0.25νΗ For a B0 where ν=200 MHz ( H) ν ≈ 50 MHz ( C) Energy difference and population The number of nuclei in the two states α and β are determined by Boltzmann distribution: N upper = e-ΔE/kT Nlower Since the α-spin state is lower in energy, it is more populated (more nuclei have α than β).
    [Show full text]
  • Origin of Chemical Shifts
    Origin of Chemical Shifts BCMB/CHEM 8190 Empirical Properties of Chemical Shift υi (Hz) = γB0 (1-σi) /2π • The Larmor frequencies of nuclei depend on the electronic structure of the molecule and the electronic environments of the nuclei, and reflect the chemical properties • The adjustments to the resonance frequencies to account for electronic structure and electronic shielding of nuclei from the magnetic field are embodied in the shielding constant, σ • The values of σ are small (10-6), and reduce the effective field strength by parts per million (ppm) (Beff = B0(1-σ)) Measurements are made relative to a reference peak (TMS). Offsets given in terms of δ in parts per million, ppm, + downfield. 6 δi = (σref - σi ) x 10 or 6 δi = (( υi - υref )/υref) x 10 Ranges: 1H, 2H, 10 ppm; 13C, 15N, 31P, 300 ppm; 19F, 1000 ppm Importance of Chemical Shifts and Their Origins • Shieldings are tensor quantities: magnitudes depend on orientation to magnetic field (chemical shift anisotropy) • In the solid state, different orientations give different shifts • In solution (rapid molecular tumbling) an average value results • However, in solution some orientation can be reintroduced in order to exploit available structural information • Chemical shifts reflect chemical environment, so there is potentially lots of structural information in chemical shifts themselves if we can understand the relationship with structure Ramsey’s Equation for Chemical Shift Reference: Webb, G. A. in "Nuclear Magnetic Shielding and Molecular Structure", J. A. Tossel, Ed., NATO
    [Show full text]
  • Xenon NMR: Chemical Shifts of a General Anesthetic in Common Solvents, Proteins, and Membranes ("9Xe/'31Xe/Myoglobin/Lipid Bilayers/Biomembranes) KEITH W
    Proc. Natl Acad. Sci. USA Vol. 78, No. 8, pp. 4946-4949, August 1981 Biophysics Xenon NMR: Chemical shifts of a general anesthetic in common solvents, proteins, and membranes ("9Xe/'31Xe/myoglobin/lipid bilayers/biomembranes) KEITH W. MILLER*, NICHOLAS V. REOt, ANTONIUS J. M. SCHOOT UITERKAMPt, DIANE P. STENGLE§, THOMAS R. STENGLEt, AND KENNETH L. WILLIAMSON§ *Departments of Pharmacology and Anesthesia, Harvard Medical School and Massachusetts General Hospital, Boston, Massachusetts 02114; tDepartment of Chemistry, University of Massachusetts, Amherst, Massachusetts 01003; *Interdisciplinary Programs in Health, Harvard School of Public Health, Boston, Massachusetts 02115; and IDepartment ofChemistry, Mount Holyoke College, South Hadley, Massachusetts 01075 Communicated by Donald F. Hornig, April 20, 1981 ABSTRACT The rare gas xenon contains two NMR-sensitive published data). Its most striking pharmacological property is isotopes in high natural abundance. The nuclide '"Xe has a spin its ability to induce general anesthesia; its efficacy is comparable of 'h; '31Xe is quadrupolar with a spin of 3/2. The complementary to that ofnitrous oxide (7). The physicochemical mechanism of NMR characteristics ofthese nuclei provide a unique opportunity anesthetic action is controversial, but it is likely that the locus for probing their environment. The method is widely applicable ofaction is either in the lipid or the protein region ofexcitable because xenon interacts with a useful range of condensed phases membranes (8). If the NMR characteristics of xenon in these including pure liquids, protein solutions, and suspensions oflipid environments differ widely, then this would have obvious im- and biological membranes. Although xenon is chemically inert, it plications fordistinguishing among action. does interact with living systems; it is an effective general anes- theories ofanesthetic thetic.
    [Show full text]
  • Nuclear Magnetic Resonance (NMR)
    Nuclear Magnetic Resonance (NMR) Graphics from http://fs512.fshn.uiuc.edu/3D-NMR-chazin.gif Presentation Outline • Introduction – What is NMR Good Gor? • Brief Theory – Quantum Chemistry, Magnetization • NMR Concepts – – Frequency, Relaxation, Chemical Shift, Coupling, Integration • 1-Dimension NMR Experiments • 2-D NMR – COSY, HMQC/HSQC, NOESY • ********************BREAK************************* • Biomolecular NMR – 3-D • NMR Application Examples – Dynamic NMR, Solid State NMR, Inorganic, Diffusion • Spectrometer Description – Probes and Gradients • Structure Determination with NMR Introduction – NMR, What is it Good for? • Determine Solution Structure of Small Molecules • DNA and Protein Structure Determination • Molecular Dynamics – Quantifying Motional Properties – Exchange Rate/Activation Energy/∆H/ ∆S • Diffusion Measurements • Hydrogen Bonding Determination/pKa Measurements • Drug Screening • Metabolite Analysis - Metabolomics • Natural Product Chemistry • Polymer Chemistry • Environmental Chemistry The Nuclear Magnetic Moment • All atomic nuclei can be characterized by a nuclear spin quantum number, I. I can be ≥ 0 and any multiple of ½. • Nuclei with I = 0 do not possess nuclear spin and consequently are termed ‘NMR silent’. • All nuclei with I ≠ 0 possess spin, charge, and angular momentum P, resulting in a nuclear magnetic moment µ. µ = γP Where γ is the magnetogyric ratio of the nucleus. NMR- Quantum Chemistry I = the nuclear spin quantum number For Nuclei of: I = Example Odd Mass Half Integer 1H, 13C Even Mass/Even Charge
    [Show full text]
  • NMR Solvents Chart
    Cambridge Isotope Laboratories, Inc. www.isotope.com unit NMR Solvent Data CHart Cambridge Isotope Laboratories, Inc. www.isotope.com NMRRESEARCH SOLVENTS PRODUCTS NMR Solvent Data Chart More Solvents, More Sizes, More Solutions NMR Solvents 1H Chemical Shift 13C Chemical Shift 1H Chemical Shift Density at Melting point Boiling point Dielectric Molecular 20°C (°C) (°C) Weight (ppm from TMS) JCD(Hz) (ppm from TMS) JCD(Hz) of HOD Constant (multiplicity) (multiplicity) (ppm from TMS) � � � � � � � 11.65 (1) 178.99 (1) Acetic Acid-d4 20 11.5 1.12 16.7 118 6.1 64.08 2.04 (5) 2.2 20.0 (7) 206.68 (1) 0.9 Acetone-d6 2.8 * 0.87 -94 56.5 20.7 64.12 2.05 (5) 2.2 29.92 (7) 19.4 118.69 (1) Acetonitrile-d3 2.1 * 0.84 -45 81.6 37.5 44.07 1.94 (5) 2.5 1.39 (7) 21 Benzene-d6 7.16 (1) 128.39 (3) 24.3 0.4 0.95 5.5 80.1 2.3 84.15 Chloroform-d 7.24 (1) 77.23 (3) 32.0 1.5 * 1.50 -63.5 61-62 4.8 120.38 Cyclohexane-d12 1.38 (1) 26.43 (5) 19 0.8 0.89 6.47 80.7 2.0 96.24 4.80 (DSS) NA NA 4.8 1.11 3.81 101.42 78.5 Deuterium Oxide 4.81 (TSP) 20.03 8.03 (1) 163.15 (3) 29.4 3.5 1.03 -61 153 36.7 80.14 N, N-Dimethyl-formamide-d7 2.92 (5) 1.9 34.89 (7) 21.0 2.75 (5) 1.9 29.76 (7) 21.1 Dimethyl Sulfoxide-d6 2.50 (5) 1.9 39.51 (7) 21.0 3.3 * 1.19 18.45 189 46.7 84.17 1,4-Dioxane-d8 3.53 (m) 66.66 (5) 21.9 2.4 1.13 11.8 101.1 2.2 96.16 5.19 (1) 5.3 0.89 -114.1 78.5 24.5 52.11 Ethanol-d6 3.56 (1) 56.96 (5) 22 1.11 (m) 17.31 (7) 19 4.78 (1) 4.9 0.89 -97.8 64.7 32.7 36.07 Methanol-d4 3.31 (5) 1.7 49.15 (7) 21.4 Methylene Chloride-d2 5.32 (3) 1.1 54.00 (5) 27.2 1.5 1.35 -95
    [Show full text]
  • Chemical Shifts
    Chemical shifts Discovered in 1950 by Proctor and Yu based on solution 14N NMR studies of NH4NO3 1 H chemical shifts Empirical correlations between chemical shifts and structure Typical 1H chemical shift values. Proton / ppm Proton / ppm Aldehyde 9.5 - 10.5 CH3 attached to double Aromatic 6.5 - 8.2 bonds/aromatics 1.8 - 2.5 Alkene 4.5 - 6.1 Methyl (CH3–CO) 1.8 - 2.7 Alkyne 2.0 - 3.2 Methylene (CH2–O) ~3.6 - 4.7 Acetal 4.5 - 6.0 Methylene (CH2– R1R2) ~1.3 Alkoxy 3.4 - 4.8 Methine (CH–R1R2R3) ~1.5 Methyl (CH3–R) ~0.9 Cyclopropane 0.22 N-methyl 3.0 - 3.5 Me4Si (TMS) 0.0 Methoxy 3.3 - 3.8 Metal hydride –5 to –20 The influence of the electron density at the proton (Diamagnetic) Shielding of Nucleus by Electrons B o Nucleus Electron (lines of force arising from electron motion) NMR Spectroscopy 1 The applied magnetic field, B0, induces circulations in the electron cloud surrounding the nucleus such that a magnetic moment , opposed to B0, is produced (Lenz's law). Nuclei in a region of high electron density are more shielded from the applied field than those in regions of lower electron density. If inductive effects present in a molecule reduce the electron density in the hydrogen 1s orbital, dishielding (shift to higher frequencies) is expected. CH3F CH3Cl CH3Br CH3I CH3H (CH3) 4.13 2.84 2.45 1.98 0.13 Electonegativity (Pauling) 4.0 3.0 2.8 2.5 2.1 TMS Less screened than TMS More screened than TMS Low field High Field High frequency Low frequency {Most organic protons} {Metal Hydrides} +10 0 -10 Substituents, such as OR or NR2, can act both as an electron withdrawing group (due to electronegativity, thus causing a shift to higher frequencies) and as a donor of lone pairs (if double bonds are present, thus causing a shift to lower frequency).
    [Show full text]